GClasses::GRecurrentModel Member List

This is the complete list of members for GClasses::GRecurrentModel, including all inherited members.

baseDomNode(GDom *pDoc, const char *szClassName) const	GClasses::GSystemLearner	protected
blurImageVector(const double *pIn, double *pOut, int wid, int hgt, int chan, double valueRange, int radius, int iters)	GClasses::GRecurrentModel	static
calibrate(const double *pObs)	GClasses::GRecurrentModel	virtual
context()	GClasses::GRecurrentModel	inline
contextDims()	GClasses::GRecurrentModel	inline
doAction(const double *pAction)	GClasses::GRecurrentModel	virtual
frames(GMatrix *pDataAction, GMatrix *pDataObs, bool calibrateContext, unsigned int frameWidth, int stepsPerImage, double scalePredictions)	GClasses::GRecurrentModel
GRecurrentModel(GSupervisedLearner *pTransition, GSupervisedLearner *pObservation, size_t actionDims, size_t contextDims, size_t obsDims, GRand *pRand, std::vector< size_t > *pParamDims=NULL)	GClasses::GRecurrentModel
GRecurrentModel(GDomNode *pNode, GRand *pRand)	GClasses::GRecurrentModel
GSystemLearner()	GClasses::GSystemLearner	inline
GSystemLearner(GDomNode *pNode)	GClasses::GSystemLearner	inline
joshuaEstimateState(GMatrix *pActions, GMatrix *pObservations)	GClasses::GRecurrentModel	protected
m_actionDims	GClasses::GRecurrentModel	protected
m_channels	GClasses::GRecurrentModel	protected
m_contextDims	GClasses::GRecurrentModel	protected
m_multiplier	GClasses::GRecurrentModel	protected
m_obsDims	GClasses::GRecurrentModel	protected
m_paramDims	GClasses::GRecurrentModel	protected
m_pBuf	GClasses::GRecurrentModel	protected
m_pContext	GClasses::GRecurrentModel	protected
m_pixels	GClasses::GRecurrentModel	protected
m_pObservationFunc	GClasses::GRecurrentModel	protected
m_pParamRanges	GClasses::GRecurrentModel	protected
m_pParams	GClasses::GRecurrentModel	protected
m_pRand	GClasses::GRecurrentModel	protected
m_pTransitionFunc	GClasses::GRecurrentModel	protected
m_pValidationData	GClasses::GRecurrentModel	protected
m_trainingSeconds	GClasses::GRecurrentModel	protected
m_transitionDelta	GClasses::GRecurrentModel	protected
m_useIsomap	GClasses::GRecurrentModel	protected
m_validationInterval	GClasses::GRecurrentModel	protected
mosesEstimateState(GMatrix *pActions, GMatrix *pObservations)	GClasses::GRecurrentModel	protected
obsDims()	GClasses::GRecurrentModel	inline
observationFunc()	GClasses::GRecurrentModel	inline
onFinishedComputingStateEstimate(GMatrix *pStateEstimate)	GClasses::GRecurrentModel	inlinevirtual
onObtainValidationScore(size_t timeSlice, double seconds, double squaredError)	GClasses::GRecurrentModel	inlinevirtual
paramDims()	GClasses::GRecurrentModel	inline
paramRanges()	GClasses::GRecurrentModel	inline
params()	GClasses::GRecurrentModel	inline
predict(double *pObs)	GClasses::GRecurrentModel	virtual
predictPixel(const double *pParams, double *pObs)	GClasses::GRecurrentModel
prepareForOptimization(GMatrix *pActions, GMatrix *pObservations)	GClasses::GRecurrentModel	protected
quickValidate(GMatrix *pDataAction, GMatrix *pDataObs, size_t pixelSamples, double *paramArray, bool monotonic)	GClasses::GRecurrentModel
serialize(GDom *pDoc) const	GClasses::GRecurrentModel	virtual
setTrainingSeconds(double d)	GClasses::GRecurrentModel	inline
setUseIsomap(bool b)	GClasses::GRecurrentModel	inline
trainEvolutionary(GMatrix *pActions, GMatrix *pObservations)	GClasses::GRecurrentModel
trainHillClimber(GMatrix *pActions, GMatrix *pObservations, double dev, double decay, double seconds, bool climb, bool anneal)	GClasses::GRecurrentModel
trainMoses(GMatrix *pActions, GMatrix *pObservations)	GClasses::GRecurrentModel
trainObservationFunction(GMatrix *pEstState, GMatrix *pObservations)	GClasses::GRecurrentModel	protected
trainObservationFunctionIteratively(double dStart, GMatrix *pEstState, GMatrix *pObservations)	GClasses::GRecurrentModel	protected
trainTransitionFunction(GMatrix *pActions, GMatrix *pEstState)	GClasses::GRecurrentModel	protected
transitionFunc()	GClasses::GRecurrentModel	inline
validate(std::vector< GMatrix * > &validationData, bool calibrateContext, bool monotonic, double multiplier)	GClasses::GRecurrentModel
validateDuringTraining(double timeInterval, std::vector< GMatrix * > *pValidationData)	GClasses::GRecurrentModel
~GRecurrentModel()	GClasses::GRecurrentModel	virtual
~GSystemLearner()	GClasses::GSystemLearner	inlinevirtual